{"id":"W7099896649","doi":"","title":"Human Resources and","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Workforce; Population ageing; Human resources; Population; Ageing society; Labour supply; Capital (architecture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001130216,0.0003661336,0.0003106931,0.001109208,0.002869196,0.00575443,0.0007752543,0.00134209,0.1224303],"category_scores_gemma":[0.003526039,0.00009684851,0.0002713889,0.001974177,0.002810871,0.002510826,0.003356178,0.001135565,0.01478255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003815712,"about_ca_system_score_gemma":0.005572017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213654,"about_ca_topic_score_gemma":0.02747296,"domain_scores_codex":[0.9984298,0.0004375859,0.0000555643,0.0002735701,0.0003913042,0.0004120497],"domain_scores_gemma":[0.9987741,0.0002009113,0.0001397699,0.0001718351,0.0003055749,0.0004077798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000372315,0.00006795498,0.005409516,0.0001399312,0.00002191275,0.0002447597,0.002780314,0.0003468141,0.0001541508,0.7318469,0.1210632,0.1378874],"study_design_scores_gemma":[0.000006527138,0.00002492833,0.006512229,0.0002814203,0.000006084211,0.0002735565,0.003251077,0.0001341514,0.0000836783,0.05412153,0.9352912,0.00001355165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008772271,0.00525053,0.002130631,0.02349283,0.000729281,0.00006346916,0.000888861,0.0000702395,0.9586019],"genre_scores_gemma":[0.3642181,0.009130489,0.002647924,0.007952514,0.0005609475,0.000178342,0.001206852,0.00007598191,0.6140289],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8775697,"threshold_uncertainty_score":0.4095702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296922140516007,"score_gpt":0.2442259909282816,"score_spread":0.2312567695231215,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}